Senior Software and DevOps Engineer, DOCA Verification

NVIDIA is looking for a Senior Software Engineer to join the NVIDIA DOCA™ SDK Verification team. The NVIDIA DOCA™ SDK enables developers to rapidly create applications and services on top of NVIDIA® BlueField® data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of NVIDIA's DPUs.

What You'll Be Doing

• Support DevOps initiatives by developing and maintaining CI/CD pipelines to automate build and deployment processes, and by improving monitoring and observability across services
• Contribute to maintaining both physical and cloud-based infrastructure, including troubleshooting and resolving hardware and system-level issues
• Debug and analyze complex system-level issues to identify root causes and drive timely resolution
• Contribute to the development of verification infrastructure, tackling complex technical challenges to enhance coverage, scalability, and robustness of DOCA™ services
• Engage in the full software development lifecycle of verification components, from design and architecture through implementation and validation
• Develop automation to simulate real-world environments and design tests to validate the functionality and performance of the DOCA platform
  
  

• Bachelor’s or Master’s degree in Computer Science or Software Engineering
• Proven experience of 5+ years as a software engineer, with a focus on building complex, scalable systems
• Strong programming skills in languages such as Python, Java, C++, or similar
• Solid understanding of software design and architecture principles, with hands-on experience applying them
• Experience developing CI/CD pipelines and contributing to DevOps practices, with a strong passion for automation
• Experience with Linux virtualization (e.g., QEMU/KVM) and container orchestration platforms such as Kubernetes
• Experience working with hardware, bare-metal servers, and infrastructure environments
• Strong communication and collaboration skills, with the ability to work effectively in a team environment
  
  

• Expert-level proficiency in Python programming
• Strong knowledge of one or more networking domains, such as Ethernet, VLANs, TCP/UDP/IP, QoS, and L2/L3 protocols
• Experience with software release processes, including codebase management, branching strategies, integrations, maintenance, and bug tracking
• Demonstrated ability to quickly learn, adapt, and ramp up on new technologies and domains
• Hands-on experience with advanced AI tools and frameworks, and the ability to apply them to real-world engineering challenges